(AI-native) DevOps Engineer

Zowie; Polska; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Zowie is expanding its AI platform with enterprise clients, and we’re hiring a DevOps Engineer to build usable, reliable platform capabilities from problem understanding to production ownership.

You’ll work across multi-cloud environments (AWS primary, GCP growing), ensure reliability, and enable developers at scale with modern tooling and observability. This role blends infrastructure, software architecture, and developer experience to deliver platform improvements.

Qualifications

• Experience in DevOps and platform engineering.
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Responsibilities

• Own end-to-end platform initiatives from idea to production.
• maintainable
• Improve reliability and observability across services.

Skills

DevOps

Platform engineering

CI/CD

Collaboration

Tools

AWS

GCP

MongoDB

Postgres

ElasticSearch

Cassandra

Redis

SIP infrastructure

Job description

About Zowie:

At Zowie, we build AI agents that handle millions of real conversations every month, for brands like InPost, Empik, Decathlon, and Allianz. They track packages, sort out claims, and actually resolve the issues people bring them. We're changing how people interact with brands. At scale.

About the role:

As Zowie grows and brings larger enterprise customers onto our AI platform, we’re facing challenges that sit at the intersection of infrastructure, application architecture, developer experience, and enterprise clients’ requirements. These problems are rarely well-defined upfront, there’s never a single way to solve them and they can’t be solved by tooling alone.

This is why we’re looking for an energetic DevOps Engineer, who enjoys building usable and reliable platform capabilities — from first understanding why the problem exists, through design and implementation, to long-term ownership in production.

Several factors shape the nature of platform work here...

What makes platform challenges interesting at Zowie:

• Multi-cloud reality – AWS is our primary environment today, with GCP playing a growing role.
• Mission-critical workloads – our platform sits on the frontline of our customers’ businesses, so reliability, clarity, and operational ownership matter.
• Developer enablement at scale – as the organization grows, platform decisions increasingly affect developers velocity, and our mission is to enable them for success.
• Technological variety - to support the Product team's needs, our infrastructure consists of many technologies, like MongoDB, Postgres, ElasticSearch, Cassandra and Redis.
• Voice Technologies - as our AI Agent supports phone calls, you’ll have a chance to work with reliable and scalable SIP infrastructure.
  
• Enterprise readiness – secure access patterns, auditability, and compliance are becoming first-class requirements.
• AI‑native engineering org.-you’re expected (not just allowed) to use modern AI tools in your daily work.

This role might be for you, if you:

• Want to have real influence on how an entire platform evolves
• Enjoy owning initiatives end-to-end, not just implementing predefined tasks
• Are curious to understand your stakeholders, then design pragmatic solutions that account for the impact of your decisions
• Like working at the boundary between infrastructure, application architecture, and developer experience